Correct option is C
The purpose of the
legend() function in Matplotlib is to
label different lines or markers on a plot. It is used to create a legend that helps identify what each line, marker, or color represents in a plot. This is particularly useful when multiple datasets or lines are plotted on the same graph, allowing users to distinguish between them.
Important Key Points:
1.
Legend for Labels: The legend() function is used to display a legend, which provides labels for different elements (lines, markers, etc.) in the plot.
2.
Automatic Labels: When plotting, you can assign labels to elements (e.g., lines or markers) using the label parameter in the plotting function, and then call legend() to display the legend.
3.
Customizing Legend: You can customize the legend's position, font size, and other properties to improve readability.
4.
Enhances Plot Readability: Adding a legend is essential when there are multiple datasets or categories, as it helps viewers understand the plot better.
Knowledge Booster:
·
Option (a): The
title() function is used to add a title to a plot, not the legend() function.
·
Option (b): While annotations are added using the
annotate() function in Matplotlib,
legend() is specifically for labeling elements in the plot.
·
Option (d): The
xlabel() and
ylabel() functions are used to label the x and y axes of a plot, respectively. The
legend() function does not serve this purpose.